Normalizing Geometric Image Details by the Self Affine Feature Transform

Prohászka, Zoltán [Prohászka, Zoltán Ferenc (Gépi látás, robotika), author] Department of Control Engineering and Informati... (BUTE / FEEI)

English Scientific Conference paper (Chapter in Book)
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    The Self Affine Feature Transform is capable to extract various geometric information from geometric image details, and also to organize these kind of details into di#?#erent classes. This article shows how di#?#erent details can be normalized through the normalization of the quadratic function describing the accumulated ow velocity. The presented algorithm is independent of image contents (image class), but the uncertainty of the resulting normalizing transformation depends on which class the image belongs. A sample code is given to ease reproduction of results. The algorithm does not take into account how affine transformation a#?#ects low pass #?#ltering. E#?#ects on windowing is partly incorporated.
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    2021-04-15 12:42